Metadata-Version: 2.4
Name: AutoImblearn
Version: 0.1.34
Summary: Automated machine learning system for imbalanced medical data
Author: Hank Wang
Author-email: hankwang1991@gmail.com
License: BSD 3-Clause License
Keywords: medical analysis,automated machine learning
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
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Requires-Dist: joblib
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Provides-Extra: web
Requires-Dist: matplotlib; extra == "web"
Requires-Dist: seaborn; extra == "web"
Provides-Extra: imputer
Requires-Dist: hyperimpute; extra == "imputer"
Provides-Extra: resampler
Requires-Dist: smote_variants; extra == "resampler"
Requires-Dist: imbalanced-learn; extra == "resampler"
Provides-Extra: r-model
Requires-Dist: rpy2; extra == "r-model"
Provides-Extra: dev
Requires-Dist: check-manifest; extra == "dev"
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# AutoImblearn

AutoImblearn is an AutoML system tailored to imbalanced datasets. It automates the selection of preprocessing techniques, resampling strategies, model selection, and hyperparameter optimization to achieve robust performance on imbalanced classification tasks.

## Features

- Automatic pipeline generation
- Support for common imbalanced learning techniques
- Hyperparameter tuning
- Modular design for extensibility

## Installation

To install the package, run:

```bash
pip install AutoImblearn
